Corporate Biodiversity Reporting Can Be Scaled With AI and Earth Observation—But Will Miss the Point Without Guidance From Conservation Scientists

Benjamin L. Miller; Seamus Lombardo; Amy Rosenthal; Tara O'Shea; Amy Luers; Juan M. Lavista-Ferres; Lisa Mandle; Taylor H. Ricketts; Stephen Polasky; Daniel G. Brown

doi:10.1111/conl.13153

Corporate Biodiversity Reporting Can Be Scaled With AI and Earth Observation—But Will Miss the Point Without Guidance From Conservation Scientists

Benjamin L. Miller
, Seamus Lombardo
, Amy Rosenthal
, Tara O'Shea
, Amy Luers
, Juan M. Lavista-Ferres
, Lisa Mandle
, Taylor H. Ricketts
, Stephen Polasky
, Daniel G. Brown

Applied Economics

Research output: Contribution to journal › Review article › peer-review

Abstract

New biodiversity and ecosystem reporting frameworks require companies to collect data on multifaceted impacts on complex ecological systems over space and time while offering them limited guidance on how to do so. Artificial Intelligence (AI) and Earth Observation (EO) are powerful tools that can help make this reporting efficient and actionable. However, before companies can fulfill their crucially important role in improving the state of nature, they will need guidance from the scientific community to identify meaningful yet scalable metrics for data collection, responsibly apply AI-enabled EO to reporting workflows, and empower the reporting workforce.

Original language	English (US)
Article number	e13153
Journal	Conservation Letters
Volume	18
Issue number	5
DOIs	https://doi.org/10.1111/conl.13153
State	Published - Sep 1 2025

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Publisher Copyright:
© 2025 The Author(s). Conservation Letters published by Wiley Periodicals LLC.

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10.1111/conl.13153

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Miller, B. L., Lombardo, S., Rosenthal, A., O'Shea, T., Luers, A., Lavista-Ferres, J. M., Mandle, L., Ricketts, T. H., Polasky, S., & Brown, D. G. (2025). Corporate Biodiversity Reporting Can Be Scaled With AI and Earth Observation—But Will Miss the Point Without Guidance From Conservation Scientists. Conservation Letters, 18(5), Article e13153. https://doi.org/10.1111/conl.13153

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abstract = "New biodiversity and ecosystem reporting frameworks require companies to collect data on multifaceted impacts on complex ecological systems over space and time while offering them limited guidance on how to do so. Artificial Intelligence (AI) and Earth Observation (EO) are powerful tools that can help make this reporting efficient and actionable. However, before companies can fulfill their crucially important role in improving the state of nature, they will need guidance from the scientific community to identify meaningful yet scalable metrics for data collection, responsibly apply AI-enabled EO to reporting workflows, and empower the reporting workforce.",

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AU - Luers, Amy

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IS - 5

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ER -

Corporate Biodiversity Reporting Can Be Scaled With AI and Earth Observation—But Will Miss the Point Without Guidance From Conservation Scientists

Abstract

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